聚类分析与因子分析在天津港富营养化分析中的应用

Application of Cluster Analysis and Factor Analysis on Assessment of Eutrophication in Tianjin Coastal Area

为识别天津港富营养化发生的主要环境因子,将聚类分析与因子分析相结合,对天津港海域的水质进行综合评价.结合近期天津港南部海域的生态和水质监测数据,利用SAS统计分析软件,首先以富营养化海域的生态群落指标作为聚类指标,对各监测点进行聚类分析,按照生态群落效应将各监测点分为三类;然后分别对三类监测点水质进行因子分析,识别导致各类水质富氧化的主要环境因子,并确定污染的来源与贡献.

In order to identify the main environmental factor of eutrophication in Tianjin coastal area, cluster analysis and factor analysis were combined together to evaluate the water quality in Tianjin coastal area. Based on the analysis of the monitoring data of the southern part of Tianjin coastal area, the assessment of eutrophication was accomplished by using the statistical software SAS. Firstly, the ecological indexes were used to make cluster analysis, the cluster process showed that the 30 monitoring sites could be divided into 3 groups. Then factor analysis was applied on the indexes of water quality from three groups to identify the main factors leading to eutrophication and find out the influences, and contributions of pollution sources.